Brian Fuller

2.7k citations
6 papers · 31 · h-index 4

Impact in

Papers in

Brian Fuller

6 papers receiving 30 citations

Peers

Brian Fuller
Comparison fields: 5 of 32
  • Parasitology 10
  • Modeling and Simulation 5
  • Microbiology 4
  • Infectious Diseases 10
  • Health 4
Replace Manuel Batram with:
Manuel Batram Germany
Mengistie Kassahun Tariku Ethiopia
Mahamadoun H. Assadou United States
Juan V Hernández-Villena United Kingdom
Freda Pitakaka Australia
Grainne Nixon United Kingdom
Angeline Cruz Spain
Adriana Sanfilippo Italy
Juliane Ankert Germany
Elisabeth G. Chestnutt United Kingdom
Brian Fuller relative to Manuel Batram Germany Manuel Batram's profile →
Citations per field
00.5×1.7×
Manuel Batram · 1×
Citations per year

Countries citing papers authored by Brian Fuller

Since Specialization
Citations

This map shows the geographic impact of Brian Fuller's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Brian Fuller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Fuller more than expected).

Fields of papers citing papers by Brian Fuller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian Fuller. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Brian Fuller. The network helps show where Brian Fuller may publish in the future.

Co-authors

The 18 scholars most cited alongside Brian Fuller, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Brian Fuller Line = papers co-authored together Brian Fuller links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1 202110
2 20217
3 20185
4
Botswana's Future: Modeling Population and Sustainable Development Challenges in the Era of HIV/AIDS
20014
5 20233
6 20102

About Brian Fuller

Brian Fuller is a scholar working on Parasitology, Infectious Diseases, Pediatrics, Perinatology and Child Health, Dermatology and Control and Systems Engineering, having authored 6 papers that have together received 31 indexed citations. Recurring topics across this work include Parasites and Host Interactions (3 papers), Parasitic Diseases Research and Treatment (2 papers), Global Maternal and Child Health (2 papers), Fault Detection and Control Systems (1 paper), Mosquito-borne diseases and control (1 paper), Pediatric health and respiratory diseases (1 paper), Target Tracking and Data Fusion in Sensor Networks (1 paper) and Reproductive tract infections research (1 paper). The work is most often cited by research in Parasitology (10 citations), Modeling and Simulation (5 citations), Microbiology (4 citations), Infectious Diseases (10 citations) and Health (4 citations). Brian Fuller has collaborated with scholars based in United States, Burundi and United Kingdom. Frequent co-authors include Steven D. Reid, Maggie O’Neil, Anders Seim, Molly Hellmuth, Thomas A. Marino, Joseph P. Shott, Kisito Ogoussan, Yaobi Zhang, Anthony W. Solomon and Warren C. Sanderson. Their work appears in journals such as PLoS neglected tropical diseases, Ophthalmic Epidemiology, American Journal of Tropical Medicine and Hygiene and IIASA PURE (International Institute of Applied Systems Analysis).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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